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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 7872
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    Explanations

    names of sports teams and their achievements

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     boneca
    -0.54
     žem
    -0.50
     apsau
    -0.50
     présidentielle
    -0.49
     tė
    -0.49
     sereia
    -0.48
     personnalisée
    -0.48
     împ
    -0.47
     almendras
    -0.47
     pegatinas
    -0.47
    POSITIVE LOGITS
     intStringLen
    0.60
    舺
    0.59
    intios
    0.54
    contentLoaded
    0.54
    tonode
    0.52
     RouterModule
    0.51
     GetEnumerator
    0.51
     setUsername
    0.49
    isContained
    0.49
     MonoBehaviour
    0.49
    Activations Density 0.232%

    No Known Activations